The National Kidney Foundation (NKF) is dedicated to promoting kidney health and providing quality, highly subsidised dialysis treatment and holistic care to patients. We strive to be an advocate and integrator for the community, by the community.

While supporting kidney failure patients with quality dialysis and integrated care, NKF's greater mission lies in preventing or delaying kidney failure through health education, deeper community integration, and strategic partnerships.

As we work toward our Future Forward 2030 vision, we remain committed to:

• Tackling the growing prevalence of kidney failure
• Enhancing patient support and care
• Leveraging technology to improve the efficacy and quality of treatment

Key Responsibilities

AI Strategy &Business Partnership

• Partner closely with business and clinical stakeholders to identify, prioritise, and operationalize high-value AI use cases that enhance operational efficiency, decision-making, and patient care outcomes.
• Serve as a key bridge between business needs, data, and technology, ensuring responsible, secure, and compliant adoption of AI capabilities.
• Conduct market sensing to stay apprised of emerging AI technologies and intelligent solutions within the healthcare industry.
• Establish and maintain relationships with partners, vendors, and healthcare clusters with proven innovative processes and products.

AI Delivery & Portfolio Management

• Plan, develop, implement, operate, and continuously improve AI-enabled solutions and intelligent applications across the organisation.
• Oversee a portfolio of in-house and outsourced AI initiatives, ensuring alignment with organisational objectives, timely delivery, and high-quality outcomes.
• Coordinate AI initiatives across the full lifecycle, including use case identification, model development, validation, deployment, monitoring, and continuous improvement.
• Support the evaluation and adoption of AI, machine learning, and automation technologies to improve operational efficiency, clinical decision support, and patient outcomes.

People & Vendor Management

• Manage AI and application teams to deliver reliable, secure, and scalable AI-enabled and intelligent solutions.
• Foster a collaborative, learning-oriented environment that encourages innovation, responsible AI adoption, and continuous improvement.
• Develop team capabilities through coaching, mentoring, and on-the-job training in AI platforms, data-driven solutions, and MLOps practices.
• Manage outsourced AI vendors and solution partners, ensuring compliance with business requirements, regulatory standards, ethical AI principles, timelines, and quality expectations.

Governance, Operations & Compliance

• Maintain AI governance processes, including model risk management, data quality controls, bias monitoring, explainability, and compliance with data protection regulations (e.g. PDPA).
• Oversee day-to-day AI solution operations, including model performance monitoring, incident management, retraining cycles, and issue escalation.
• Ensure accurate and up-to-date technical, model, and operational documentation to support governance, audits, transparency, and knowledge transfer.
• Keep abreast of advancements in AI and related technologies, particularly within the healthcare sector.

Requirements

• Degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline; postgraduate qualifications are an advantage.
• Proven experience leading AI, analytics, or intelligent application initiatives, preferably in healthcare or regulated environments.
• Strong understanding of AI/ML lifecycle management, MLOps, data governance, and ethical AI principles.
• Experience managing cross-functional teams and external vendors.
• Ability to engage senior stakeholders and translate complex technical concepts into business value.
• Strong leadership, communication, and problem-solving skills.